Networks with pixels embedding: a method to improve noise resistance in images classification. (arXiv:2005.11679v3 [cs.CV] UPDATED)

In the task of image classification, usually, the network is sensitive to
noises. For example, an image of cat with noises might be misclassified as an
ostrich. Conventionally, to overcome the problem of noises, one uses the
technique of data augmentation, that is, to teach the network to distinguish
noises by adding more images with noises in the training dataset. In this work,
we provide a noise-resistance network in images classification by introducing a
technique of pixel embedding. We test …

arxiv classification cv embedding images networks noise